Modeling and Temperature Analysis of the Nexa 1.2 kW Fuel Cell System

2015 ◽  
Vol 12 (6) ◽  
Author(s):  
R. I. Salim ◽  
H. Noura ◽  
M. Nabag ◽  
A. Fardoun
Keyword(s):  
Experimental Data ◽  
Fuel Cell ◽  
United Arab Emirates ◽  
Pem Fuel Cell ◽  
Cell System ◽  
Temperature Analysis ◽  
Fuel Cell System ◽  
Green Technologies ◽  
Swarm Optimization ◽  
Climate Conditions

The United Arab Emirates (UAE) has been exploring several renewable and green technologies to help reduce the increasing pollution rates. However, its coarse climate might impose some limitations toward the types of green technologies that can be effectively deployed in the region. In the first part of this work, an improved dynamic model of the Nexa 1.2 kW PEM fuel cell is developed using particle swarm optimization (PSO), and validated using experimental data. The developed model is then used to analyze the effect of the severe climate conditions of the UAE on the performance of the system to evaluate its operational compatibility with the region.

A Parameter Identification Approach of a PEM Fuel Cell Stack Using Particle Swarm Optimization

2013 ◽  
Author(s):  
Reem I. Salim ◽  
Hassan Noura ◽  
Abbas Fardoun
Keyword(s):  
Particle Swarm Optimization ◽  
Fuel Cell ◽  
United Arab Emirates ◽  
Fossil Fuels ◽  
Particle Swarm ◽  
Cell System ◽  
Green Technologies ◽  
Swarm Optimization ◽  
Ambient Temperatures ◽  
Domestic Use

The fear of fossil fuels depletion as well as the constantly increasing pollution rates motivated most of today’s engineers and researchers towards focusing on renewable energies and their applications. Fuel Cells are one of the green technologies that are being explored extensively around the world. The work of this paper was done on the 3kW ElectraGen™ fuel cell system under study for domestic use in the United Arab Emirates (UAE). Several experiments were conducted at different operating points and relatively high ambient temperatures. The experimental I/V characteristics of the system are matched by identifying 13 different modeling parameters using basic fitting. The obtained model is then further optimized using Particle Swarm Optimization (PSO). The resulting model is validated experimentally and was found to highly resemble the system’s I/V characteristics yielding less than 1.5 V H∞ norm of the error.

scholarly journals Balanced version of Slime Mold Algorithm: A study on PEM fuel cell system parameters identification

2021 ◽  
Vol 7 ◽  
pp. 3199-3209
Author(s):  
Junlong Zheng ◽  
Yujie Xie ◽  
Xiaoping Huang ◽  
Zhongxing Wei ◽  
Bahman Taheri
Keyword(s):  
Fuel Cell ◽  
Pem Fuel Cell ◽  
Cell System ◽  
Slime Mold ◽  
Parameters Identification ◽  
Fuel Cell System ◽  
System Parameters

Development of a Portable LPG PEM Fuel Cell System

2019 ◽  
Vol 12 (1) ◽  
pp. 671-680
Author(s):  
Ju-Yong Kim ◽  
SungChul Lee ◽  
WooCheol Shin ◽  
YongGul Lee ◽  
DongHyun Kim
Keyword(s):  
Fuel Cell ◽  
Pem Fuel Cell ◽  
Cell System ◽  
Fuel Cell System

scholarly journals Performance Improvement by Temperature Control of an Open-Cathode PEM Fuel Cell System

Fuel Cells ◽  
2014 ◽  
Vol 14 (3) ◽  
pp. 466-478 ◽  
Author(s):  
S. Strahl ◽  
A. Husar ◽  
P. Puleston ◽  
J. Riera
Keyword(s):  
Fuel Cell ◽  
Performance Improvement ◽  
Temperature Control ◽  
Pem Fuel Cell ◽  
Cell System ◽  
Fuel Cell System

Theoretical Analysis on the Autothermal Reforming Process of Ethanol as Fuel for a Proton Exchange Membrane Fuel Cell System

2006 ◽  
Vol 4 (4) ◽  
pp. 468-473 ◽  
Author(s):  
Alessandra Perna
Keyword(s):  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Pem Fuel Cell ◽  
Cell System ◽  
Autothermal Reforming ◽  
Proton Exchange ◽  
Operating Conditions ◽  
Hydrogen Yield ◽  
Fuel Cell System ◽  
Exchange Membrane

The purpose of this work is to investigate, by a thermodynamic analysis, the effects of the process variables on the performance of an autothermal reforming (ATR)-based fuel processor, operating on ethanol as fuel, integrated into an overall proton exchange membrane (PEM) fuel cell system. This analysis has been carried out finding the better operating conditions to maximize hydrogen yield and to minimize CO carbon monoxide production. In order to evaluate the overall efficiency of the system, PEM fuel cell operations have been analyzed by an available parametric model.

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